Scenario-based optimization of humanitarian supply chain distribution channels for a possible earthquake: a case study in Türkiye

ArticleAçık Erişim

Özet

Earthquakes represent a serious risk to societies, economies, and critical infrastructure, highlighting the need for effective disaster preparedness and resilient humanitarian supply chains (HSCs). In seismically active regions such as Erzincan Province, Türkiye, HSC distribution networks must remain functional despite significant disruptions. This study proposes a five-stage mixed-method framework to design and optimize HSC distribution channels for a potential major earthquake in the central district of Erzincan. First, buildings and transportation links were evaluated in terms of seismic suitability to pre-select candidate main distribution centers (MDCs), local distribution points (LDPs), and low-risk routes. Proximity analyses were then conducted using Quantum GIS (QGIS) to identify potential LDPs within a 1–5 km service radius for 69 neighborhoods. These locations were further validated and optimized using Greenfield analyses in anyLogistix under a distance–demand cost minimization criterion. Four distribution channel scenarios were subsequently simulated over a two-month post-earthquake period in line with national and international disaster standards. Finally, the Shortest Path Method was applied to assign primary, secondary, and tertiary LDPs to each neighborhood. The results indicate that supplying nine LDPs (comprising schools and healthcare centers) through four MDCs, including a newly designated sports facility, minimizes transportation cost, travel distance, and lead time, while enabling 63.8% of neighborhoods to access their primary LDP within 3 km. The proposed framework offers a holistic approach by explicitly incorporating seismic compliance into the design of HSC distribution channels in earthquake-prone regions. © The Author(s) 2026.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/10447Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/s10518-026-02478-wYayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorBalkar, Oğuz Emre
dc.contributor.authorAkar, Alper
dc.contributor.authorAkar, Özlem
dc.date.accessioned2026-10-18T20:25:39.772172026Z
dc.date.available2026-10-18T20:25:39.772172026Z
dc.date.issued2026
dc.description.abstractEarthquakes represent a serious risk to societies, economies, and critical infrastructure, highlighting the need for effective disaster preparedness and resilient humanitarian supply chains (HSCs). In seismically active regions such as Erzincan Province, Türkiye, HSC distribution networks must remain functional despite significant disruptions. This study proposes a five-stage mixed-method framework to design and optimize HSC distribution channels for a potential major earthquake in the central district of Erzincan. First, buildings and transportation links were evaluated in terms of seismic suitability to pre-select candidate main distribution centers (MDCs), local distribution points (LDPs), and low-risk routes. Proximity analyses were then conducted using Quantum GIS (QGIS) to identify potential LDPs within a 1–5 km service radius for 69 neighborhoods. These locations were further validated and optimized using Greenfield analyses in anyLogistix under a distance–demand cost minimization criterion. Four distribution channel scenarios were subsequently simulated over a two-month post-earthquake period in line with national and international disaster standards. Finally, the Shortest Path Method was applied to assign primary, secondary, and tertiary LDPs to each neighborhood. The results indicate that supplying nine LDPs (comprising schools and healthcare centers) through four MDCs, including a newly designated sports facility, minimizes transportation cost, travel distance, and lead time, while enabling 63.8% of neighborhoods to access their primary LDP within 3 km. The proposed framework offers a holistic approach by explicitly incorporating seismic compliance into the design of HSC distribution channels in earthquake-prone regions. © The Author(s) 2026.
dc.description.sponsorshipOpen access funding provided by the Scientific and Technological Research Council of T\u00FCrkiye (T\u00DCB\u0130TAK). The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
dc.identifier.doi10.1007/s10518-026-02478-w
dc.identifier.eissn1573-1456
dc.identifier.endpage5658
dc.identifier.issn1570-761X
dc.identifier.issue8
dc.identifier.scopus2-s2.0-105037494270
dc.identifier.startpage5621
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10447
dc.identifier.volume24
dc.identifier.wosWOS:001752518600001
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.relation.ispartofBulletin of Earthquake Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDistribution network design
dc.subjectGeographic information system
dc.subjectHumanitarian supply chain
dc.subjectPost-earthquake logistics
dc.subjectSeismic suitability
dc.subjectErzincan [Turkey]
dc.subjectTurkey
dc.subjectDisaster prevention
dc.subjectDisasters
dc.subjectEarthquakes
dc.subjectElectric power distribution
dc.subjectGeographical distribution
dc.subjectPublic works
dc.subjectSeismic design
dc.subjectSupply chains
dc.subjectTransportation routes
dc.subjectChain distribution
dc.subjectDistribution channel
dc.subjectDistribution points
dc.subjectGeographic information
dc.subjectLocal distributions
dc.subjectNetwork design
dc.subjectPost-earthquake logistic
dc.subjectdisaster relief
dc.subjectearthquake event
dc.subjectGIS
dc.subjectholistic approach
dc.subjecthumanitarian aid
dc.subjectlogistics
dc.subjectsupply chain management
dc.titleScenario-based optimization of humanitarian supply chain distribution channels for a possible earthquake: a case study in Türkiye
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus0
rdl.citation.wos0
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)